This repo contains the configs and related files to be used with RETURNN (called CRNN earlier/internally) and RASR (called Sprint internally) for data preprocessing and decoding.

To use the RETURNN configs with other data, replace the train/dev config settings, which specify the train and dev corpus data. At the moment, they will use the ExternSprintDataset interface to get the preprocessed data out of RASR. You can also use other dataset implementations provided by RETURNN (see RETURNN doc / source code), e.g. the HDF format directly.

Most of these configs belong to publications from our group, Machine Learning and Human Language Technology Group (i6), RWTH Aachen University, Germany.